Minimum Factorization

Updated on 13 June, 2025
Minimum Factorization header image

Problem Statement

The task revolves around finding the smallest possible positive integer ( x ) where the product of its individual digits equals a given integer ( num ). For example, for ( x ) being 68, the product of 6 and 8 results in 48. This problem comes with several considerations:

  1. The resulting integer ( x ) must be the smallest in value that meets the product requirement.
  2. If no such integer ( x ) can satisfy the product condition or it exceeds the 32-bit signed integer range, the function must return 0.

This requires a systematic approach to break down the given number and test various combinations of factors efficiently while considering performance and feasibility within the given constraints.

Examples

Example 1

Input:

num = 48

Output:

68

Example 2

Input:

num = 15

Output:

35

Constraints

  • 1 <= num <= 231 - 1

Approach and Intuition

The problem can be approached by trying to factorize the number ( num ) systematically using digits from 1 to 9 (since any digit greater than 9 would not be applicable in forming a direct multiplier).

  1. Start with the largest possible digit, 9, and work downwards to see if ( num ) is divisible by these digits.
  2. For each digit that divides ( num ) exactly, reduce ( num ) by repeatedly dividing it by the digit until it no longer can be divided completely by that digit. This maximizes the use of higher digits, making ( x ) smaller.
  3. The digits collected through these divisions will form the integer ( x ). However, since the divisions are performed with the largest factors first, the collected digits will be in reverse order.
  4. If after processing all possible digits from 9 to 1, ( num ) reduces to 1, this suggests the digits collected can form the required product. If ( num ) is greater than 1, it indicates that ( num ) includes a prime factor greater than 9, mandating a return of 0, as no collection of base-10 digits could achieve that product.
  5. Finally, compile the collected digits in the correct order and verify whether the resultant integer fits within a 32-bit signed integer. If it exceeds, return 0.

Considering an example: for ( num = 48 ):

  • Starting with 9, ( num ) is not divisible by 9, next check 8, and 48/8 = 6.
  • 6 itself can be divided by digits down to 1 but favoring the larger digits gives us 6.
  • Arranging our results gives us 68.

In cases where ( num ) is impossible to break down strictly into digits (such as when ( num ) contains a prime factor greater than 9), or the resultant number exceeds the 32-bit limit, the solution defaults to 0. The systematic exploration of digit options from largest to smallest ensures the smallest possible resultant ( x ). This approach adequately simplifies the solution while adhering to the constraints provided.

Solutions

  • Java
java
public class Solution {
    public int minimumFactorization(int number) {
        if (number < 2)
            return number;
        long result = 0, multiplier = 1;
        for (int i = 9; i >= 2; i--) {
            while (number % i == 0) {
                number /= i;
                result = multiplier * i + result;
                multiplier *= 10;
            }
        }
        return number < 2 && result <= Integer.MAX_VALUE ? (int)result : 0;
    }
}

The provided Java solution defines a method minimumFactorization which aims to reconstruct the smallest possible number from its digits derived by the factorization of a given number. This method returns a result that meets specific conditions:

  • Start by handling the base case: if the input number is less than 2, simply return the number itself.
  • Declare and initialize two variables, result and multiplier. Set result to zero for accumulating the final number and multiplier to one for constructing the digits place values correctly.
  • Use a descending loop from 9 to 2. This loop checks for each digit if it can divide the number completely.
    • Inside this loop, while the current digit i can divide number, perform the division and modify result. Update result to include the current digit at the appropriate decimal place calculated by multiplier.
    • Update the multiplier by multiplying it by 10 to shift the digit for the next potential divisor to the left.
  • Post loop, return the result if the transformed number is less than 2 and within the range of standard integer values (checked using Integer.MAX_VALUE), otherwise return zero.

This algorithm is efficient as it prioritizes larger digits for the reconstructed number, ensuring the minimum possible value, and checks divisibility in decreasing order. This ensures that the composed number is the smallest possible and handles edge cases where the input number results in an unusable factorization by returning zero. The solution uses a long data type for result to handle overflow before final casting to int, which is safeguarded by the range check against Integer.MAX_VALUE.

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